Impact of mutational profiles on response of primary oestrogen receptor-positive breast cancers to oestrogen deprivation
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PROVIDER: EGAS00001001940 | EGA |
REPOSITORIES: EGA
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Project description:Presurgical studies allow study of the relationship between mutations and response of estrogen receptor positive (ER+) breast cancer to aromatase inhibitors (AIs) but have been limited to small biopsies. Here in Phase I of this study, we perform exome sequencing on baseline, surgical core-cuts and blood from 60 patients (40 AI treated, 20 Controls). In poor responders (based on Ki67 change) we find significantly more somatic mutations than good responders. Subclones exclusive to baseline or surgical cores occur in approximately 30% of tumours. In Phase II we combine targeted sequencing on another 28 treated patients with Phase I. We find six genes frequently mutated: PIK3CA, TP53, CDH1, MLL3, ABCA13 and FLG with 71% concordance between paired cores. TP53 mutations are associated with poor response. We conclude that multiple biopsies are essential for confident mutational profiling of ER+ breast cancer and TP53 mutations are associated with resistance to oestrogen deprivation therapy.
| EGAD00001002651 | EGA
Project description:Abstract: Purpose: We evaluated whether IDO-inhibitor BMS986205 (IDOi) + PD-1 inhibitor nivolumab enhanced T-cell activity and augmented immune-mediated antitumor responses in untreated, resectable HNSCC. We employed response-adaptive surgical timing to identify responders to immunotherapy and enhance their response. Patients and Methods: Patients with HNSCC were 3:1 randomized to receive nivolumab with or without BMS986205 PO daily (NCT03854032). In the combination arm, BMS986205 was initiated 7 days prior to nivolumab. Patients were stratified by HPV status. Response-adaptive surgical timing involved response assessment by radiographic criteria 4 weeks after nivolumab in both arms. Non-responders underwent surgical resection, while responders received 4 more weeks of randomized therapy before surgery. Biomarker analysis utilized pathologic treatment response (pTR) and RNA sequencing. Results: Forty-two patients were enrolled, and the addition of IDOi to nivolumab did not result in greater rate of radiographic response (p=0.909). Treatment was well-tolerated with only 2 (5%) patients experiencing grade 3 immune-related adverse events. The addition of IDO-inhibitor augmented rates of pTR in patients with high baseline IDO RNA expression (p<0.05). Response-adaptive surgical timing demonstrated reliability in differentiating pathologic responders versus non-responders (p=0.009). A pretreatment NK cell signature, PD-L1 status, and IFN-g expression in the HPV– cohort correlated with response. HPV+ cohort found B-cell and CAF signatures predictive of response/non-response. Conclusions: Response-adaptive surgical timing enhanced treatment response. IDO-inhibitor BMS986205 augmented pTR in patients with high IDO1-expression in baseline samples, indicating a need for identifying and targeting resistant nodes to immunotherapy. HPV-status-dependent signatures predicting response to immunotherapy in HNSCC warrant further study.
2024-11-20 | GSE281729 | GEO
Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 158 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. We also found 53 differentially expressed genes between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders -- CXCL4 and CXCL7 -- were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance. mRNA profiling in bone marrow mononuclear cells (BM MNC) from 14 CMML patients (8 decitabine responders vs. 6 non-responders).
2015-03-31 | E-GEOD-61162 | biostudies-arrayexpress
Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 158 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. We also found 53 differentially expressed genes between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders -- CXCL4 and CXCL7 -- were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance. DNA methylation profiling in bone marrow mononuclear cells (BM MNC) from 39 CMML patients (19 decitabine responders vs. 20 non-responders).
2015-03-31 | E-GEOD-61161 | biostudies-arrayexpress
Project description:Lenalidome is a drug especially effective in low risk myelodysplastic syndromes (MDS) with isolated 5q deletion. However, 25% of the patients did not respond. TP53 mutations have been described to play a role in the disease progression, and karyotypic complexity also has an important impact in the outcome. We selected 53 MDS patients with 5q deletion and treated with lenalidomide and we studied by the following techniques: conventional G-banding cytogenetics (CC), single nucleotide polymorphism arrays (SNP-A) and sequencing, in order to assess their impact on treatment response and disease progression. Low karyotypic complexity (by CC), a high baseline platelet count (>280x103/L) and TP53 unmutated gene status are associated with the achievement of hematological response (P=0.005, P=0.008 and P=0.057, respectively). In a multivariate model, the most important predictors for lenalidomide failure are karyotypic complexity (P=0.014) and a platelet count below 280x103/L (P=0.042). Additionally, none of the TP53 mutated cases achieved complete cytogenetics response. Nevertheless, inclusion of defects by SNP-A did not allow for a better separation of responders and non responders. These findings constitute a useful reference data to be considered before lenalidomide treatment enrollment.
2013-07-01 | GSE35656 | GEO
Project description:A total of 156 LARC patients (training cohort n = 60; validation cohort n = 96) were included in the study who underwent surgical resection post PCRT. By using univariate and multivariate logistic regression, we identified a 9-gene signature that differentiated between responders and non-responders. ; The novel 9-gene signature is robust in predicting response to PCRT in LARC patients. Tailored treatment approaches in good and poor responders to PCRT may improve the oncologic outcomes of patients with LARC.
2019-10-23 | GSE139255 | GEO
Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to Decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 167 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. Transcriptional analysis revealed that gene expression differences also exist at diagnosis between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders – CXCL4 and CXCL7 – were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance.
2017-08-29 | GSE63787 | GEO
Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 158 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. We also found 53 differentially expressed genes between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders -- CXCL4 and CXCL7 -- were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance.
2015-03-31 | GSE61162 | GEO
Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 158 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. We also found 53 differentially expressed genes between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders -- CXCL4 and CXCL7 -- were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance.
2015-03-31 | GSE61161 | GEO
Project description:Genome wide DNA methylation profiling of peripheral blood samples of moderate-to-severe psoriasis patients treated with anti-TNF drugs. Patients were distributed on Excellent Responders (ER) if they achieved PASI90 (a 90% reduction with respect to baseline PASI) at 3 and 6 months of treatment with anti-TNF drugs and Partial responders if they did not achieve a PASI75 (a 75% reduction with respect to baseline PASI) at 3 and 6 months of treatment. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 485,000 CpGs in 49 ER and 21 PR which were obtained from peripheral blood samples of anti-TNF drug treated patients. We have searched for pharmaoepigenetic biomarkers of anti-TNF response in moderate-to-severe psoriasis patients.
2020-05-28 | GSE151278 | GEO